ph3Overview /h3pCanonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is widely used in enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. The company is founder led, profitable and growing, with 1000+ colleagues in 70+ countries and most roles based remotely. We hire Python and Kubernetes Specialist Engineers focused on Data, AI/ML and Analytics Solutions to join our teams building open source solutions for public cloud and private infrastructure. /ppAs a software engineer on the team, you''ll collaborate on an end-to-end data analytics and MLOps solution composed of popular, open-source machine learning tools. You may also work on workflow, ETL, data governance and visualization tools, or data warehouse solutions. Your team will own a solution from the analytics and machine learning space and integrate with other teams to build a comprehensive data platform. These solutions may run on servers or in the cloud, on machines or on Kubernetes, on developer desktops, or as web services. /ppLocation: This initiative spans many teams that are home-based and in multiple time zones. We value distributed collaboration and aim for colleagues to be in the same time zone for constant collaboration and discussion where possible. /ph3Responsibilities /h3ulliDevelop understanding of the Linux stack, from kernel and networking to the application layer /liliDesign, build and maintain solutions deployed on public and private clouds and local workstations /liliMaster distributed systems concepts such as observability, identity,



and tracing /liliWork with Kubernetes and machine-oriented open source applications /liliCollaborate with a distributed team of engineers, designers and product managers /liliDebug issues and interact with upstream and Ubuntu communities /liliGenerate ideas and collaborate on effective solutions /li /ulh3What we are looking for in you /h3ulliProfessional or academic software delivery using Python /liliStrong academic record from high school and university /liliUndergraduate degree in a technical subject or a compelling alternative narrative /liliConfidence to respectfully speak up, exchange feedback, and share ideas /liliTrack record of going above and beyond to achieve results /liliPassion for technology demonstrated by personal projects /liliStrong work ethic and ability to collaborate with motivated colleagues /liliProfessional written and spoken English with excellent presentation skills /liliExperience with Linux (Debian or Ubuntu preferred) /liliInterpersonal skills, curiosity, flexibility, accountability /liliAppreciation for diversity and ability to work in a multi-cultural,



multi-national organization /liliThoughtfulness and self-motivation /liliResult-oriented with commitment to meet objectives /liliAbility to travel twice a year for company events up to two weeks /li /ulh3Nice to have /h3ulliHands-on experience with machine learning libraries or tools /liliExperience building automated machine learning solutions for the cloud /liliExperience with container technologies (Docker, LXD, Kubernetes, etc.) /liliExperience with public clouds (AWS, Azure, Google Cloud) /liliWorking knowledge of cloud computing /liliPassion for software quality and testing /liliExperience contributing to an open source project /li /ulh3What we offer /h3ulliDistributed work environment with periodic in-person team sprints /liliPersonal learning and development budget /liliAnnual compensation review /liliRecognition rewards /liliAnnual holiday leave /liliMaternity and paternity leave /liliEmployee Assistance Programme /liliTravel opportunities to meet colleagues /liliTravel upgrades for long-haul company events /li /ulh3About Canonical /h3pCanonical is a pioneering tech firm at the forefront of the integral move to open source. We publish Ubuntu, a key open source project and platform for AI, IoT and the cloud. We recruit on a global basis and maintain high standards for those joining. Most colleagues work from home, and the role offers opportunities to think differently, work smarter, learn new skills, and raise performance. /ppbCanonical is an equal opportunity employer /bbr/We are committed to a workplace free from discrimination. Diversity of experience and background contribute to a better environment and better products. All applicants will receive fair consideration. /p /p #J-18808-Ljbffr

📌 Python and Kubernetes Software Engineer - Data, AI/ML & Analytics (Salamanca)
🏢 Canonical
📍 Salamanca